ML-Based Unified Seismic Vulnerability Prediction Model for Heritage Minarets
Implementing Partner: Build Change
Project name:ML-Based Unified Seismic Vulnerability Prediction Model for Heritage Minarets in India
This project applies machine learning to assess the seismic vulnerability of heritage minarets in India. Through vibration analysis, it evaluates structural integrity and identifies stability-critical properties.
A detailed 3D model enhances understanding of minaret behavior during earthquakes, informing risk reduction strategies.
Given their susceptibility to seismic damage, this initiative plays a crucial role in preserving culturally significant structures, guiding conservation efforts, and advancing resilient architectural practices for heritage sites in seismic-prone regions.
earthquakes in India
buildings in India
Impact
1
A robust method integrates structural data and vibration analysis to assess the seismic vulnerability of heritage minarets, identifying key stability factors. This approach enhances preservation efforts, ensuring these culturally significant structures withstand earthquake impacts and remain protected.
2
A machine learning-based prediction model utilizes collected data to assess the seismic safety of heritage minarets, improving risk accuracy. This approach helps identify vulnerable structures, prioritizing intervention efforts to safeguard these culturally significant landmarks from earthquake damage.
3
The model’s findings guide strategic retrofitting and preservation efforts, enabling stakeholders to safeguard heritage minarets. By ensuring structural integrity, this approach strengthens resilience, facilitating long-term conservation and protecting these culturally significant landmarks from seismic vulnerabilities.
